Universal Agent for Disentangling Environments and Tasks. - Jiayuan Mao; Honghua Dong; Joseph J. Lim (ICLR (Poster), 2018)

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. - Shihui Li; Yi Wu 013; Xinyue Cui; Honghua Dong; Fei Fang 001; Stuart Russell 001 (AAAI, 2019)

Neural Logic Machines. - Honghua Dong; Jiayuan Mao; Tian Lin; Chong Wang 002; Lihong Li 001; Denny Zhou (ICLR (Poster), 2019)

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning. - Yuhuai Wu; Honghua Dong; Roger B. Grosse; Jimmy Ba (CoRR, 2020)

MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy. - Honghua Dong; Jiawei Xu; Yu Yang 015; Rui Zhao; Shiwen Wu; Chun Yuan; Xiu Li 001; Chris J. Maddison; Lei Han 001 (NeurIPS, 2023)

Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution. - Shiwen Wu; Qiyu Wu 001; Honghua Dong; Wen Hua; Xiaofang Zhou (Proc. VLDB Endow., 2023)

Identifying the Risks of LM Agents with an LM-Emulated Sandbox. - Yangjun Ruan; Honghua Dong; Andrew Wang; Silviu Pitis; Yongchao Zhou; Jimmy Ba; Yann Dubois; Chris J. Maddison; Tatsunori Hashimoto (ICLR, 2024)

Assessing Code Generation with Intermediate Languages. - Xun Deng; Sicheng Zhong; Honghua Dong; Jingyu Hu; Sidi Mohamed Beillahi; Xujie Si; Fan Long (CoRR, 2024)

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. - Shuxing Li; Jiawei Xu; Honghua Dong; Yu Yang 015; Chun Yuan; Peng Sun 011; Lei Han 001 (IEEE Trans. Games, 2024)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. - Honghua Dong; Qidong Su; Yubo Gao; Zhaoyu Li; Yangjun Ruan; Gennady Pekhimenko; Chris J. Maddison; Xujie Si (ACL (1), 2025)

τ2-Bench: Evaluating Conversational Agents in a Dual-Control Environment. - Victor Barres; Honghua Dong; Soham Ray; Xujie Si; Karthik Narasimhan (CoRR, 2025)

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories. - Honghua Dong; Jiacheng Yang; Xun Deng; Yuhe Jiang; Gennady Pekhimenko; Fan Long; Xujie Si (CoRR, 2025)

LM Agents May Fail to Act on Their Own Risk Knowledge. - Yuzhi Tang; Tianxiao Li; Elizabeth Li; Chris J. Maddison; Honghua Dong; Yangjun Ruan (CoRR, 2025)